Best Data Analysis Consultancy Services
Microsoft Excel 365 Data Analysis
- Microsoft Excel is one of the most widely used programmes for data analysis.
- Build presentation ready dashboards with spreadsheet functions that can manage and organise large data sets.
- It also has graphing tools and computing capabilities, such as automated summation, or “AutoSum.” Learn how to utilise pivot tables and pivot charts in Excel to automate your process.
- Recognise and comprehend the fundamentals of data analysis. This includes Analysis ToolPak, which offers statistical analysis, variance analysis, and regression data analysis tools.
- Excel’s ease of use and versatility make it a powerful tool for managing, sorting, filtering, cleaning, analysing, visualising data, and strategic use as a BI tool.
- If you are just getting started in data science, you should consider learning more about Excel to get ready for your future profession.
Python
- Python is frequently ranked as the most popular programming language in the world today.
- Unlike other programming languages, Python is relatively easy to learn and can be used for a variety of tasks, including software, web development, and data analysis.
- Python is used in the data world to streamline, model, visualise, and analyse data using its built-in data analytics tools.
- One of the main features of Python that appeals to data analytics professionals is its many libraries, like Pandas and Numpy, which offer a variety of powerful tools for many analytics needs.
- Utilise Python’s well-known Pandas module to perform a wide range of data operations, such as pivoting, joining, grouping, and more.
R
- R is an open-source programming language used for statistical computing and graphics.
- It is regarded as one of the most important programming languages used in data analysis.
- R is typically used for statistical analysis, data visualisation, and data manipulation.
- Its statistical focus makes it well-suited to statistical calculations.
- Its visualisation tools make it an excellent language for creating compelling graphics.
IBM SPSS Statistics
- Statistical software platform IBM® SPSS® Statistics is highly effective.
- A wide spectrum of academics utilise SPSS, which stands for Statistical Package for the Social Sciences, to analyse complex statistical data.
- Perform the basic data analysis procedures: Frequencies, Descriptives, Explore, Means, Crosstabs
- Perform simple operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files
- Built the most useful charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams
- Test the hypothesis of normality (with numeric and graphic methods)
PLS-SEM
- Partial Least Squares Structural Equation Modelling, or PLS-SEM, is a superior option for investigating and forecasting non-normal, categorical, or ordinal data, small sample sizes, intricate models with numerous variables and indicators, higher-order constructs, formative assessment, and managing mediation and moderation effects.
- PLS-SEM has recently drawn more attention in practise and study fcategorical,ty of fields, including the political, social, engineering, medical, marketing, information systems, management, and psychology.
- PLS-SEM allows researchers to develop and evaluate complicated cause-effects connection models, with both latent (shown graphically as circles) and observable (represented graphically as rectangles) variables.
- Latent variables refer to phenomena that are not directly observable, such as attitudes, intents, and perceptions, and are therefore unseen.
- In a statistical model, the latent variables are represented by the observed variables (such as secondary data or questionnaire answers).
AMOS
- Amos is a powerful structural equation modelling (SEM) program
- Extends the capabilities of common multivariate analysis techniques
- Create behavioral and attitude models
- More precisely depict complex interactions
- Part of SPSS Statistics Premium
- Available as a stand-alone program
- Part of SPSS Statistics’ Base, Standard, and Professional editions
- Simple data entry
- Enter a model using a table akin to a spreadsheet (no programming needed)
- Includes Bayesian estimation, latent class analysis, and other features
- Discover hidden variables through path analysis and structural equation modeling and it can support your business needs
MATLAB
- MATLAB is a tool used by scientists and engineers to organise, clean, and analyse large, complicated data sets from a variety of industries, including finance, climatology, predictive maintenance, and medical research.
- MATLAB offers preprocessing tools and data formats intended for scientific and engineering data
- Data visualisations that are highly customisable and interactive
- Tasks in Live Editor and apps that support interactive data preparation, cleaning, and coding
- Thousands of preconfigured routines for signal processing, machine learning, and statistical analysis
- Improved performance with only minor code modifications, extra hardware, voluminous, and expertly authored documentation
- Big data analysis expanded without significant code modifications
- Without requiring manual recoding of methods, automatic packaging of analysis into freely distributable software components or embeddable source code
- Automatically created shareable reports based on your analysis